def parse(file_name, int_cols):
    """
    Parses the CSV file specified by file_name and returns the data as a list
    of dictionaries where each row is represented by a dictionary that
    has keys for each column and value which is the entry for that column
    at that row.

    Also takes a list of column names that should have the data for that column
    converted to integers. All other data will be str.
    """
    data = []
    with open(file_name) as f:
        headers = f.readline().strip().split(',')
        num_cols = len(headers)

        for line in f.readlines():
            row_data = line.strip().split(',')
            row = {}
            for i in range(num_cols):
                if headers[i] in int_cols:
                    row[headers[i]] = int(row_data[i])
                else:
                    row[headers[i]] = row_data[i]
            data.append(row)
    return data


# Write your solutions here!